it’s the common rules that govern all creation and consumption across a medium that change people and society. Oral culture teaches us to think one way, written culture another. Television turned everything into entertainment, and social media taught us to think with the crowd.

There is a grammar and logic to the medium, enforced by internal culture and by ratings reports broken down by the quarter-hour. You can do better cable news or worse cable news, but you are always doing cable news.

Don’t just look at the way things are being expressed; look at how the way things are expressed determines what’s actually expressible.” In other words, the medium blocks certain messages.

Television teaches us to expect that anything and everything should be entertaining. But not everything should be entertainment, and the expectation that it will be is a vast social and even ideological change.

Television, he writes, “serves us most ill when it co-opts serious modes of discourse — news, politics, science, education, commerce, religion — and turns them into entertainment packages.

The border between entertainment and everything else was blurring, and entertainers would be the only ones able to fulfill our expectations for politicians. He spends considerable time thinking, for instance, about the people who were viable politicians in a textual era and who would be locked out of politics because they couldn’t command the screen.

As a medium, Twitter nudges its users toward ideas that can survive without context, that can travel legibly in under 280 characters. It encourages a constant awareness of what everyone else is discussing. It makes the measure of conversational success not just how others react and respond but how much response there is. It, too, is a mold, and it has acted with particular force on some of our most powerful industries — media and politics and technology.

I’ve also learned that patterns of attention — what we choose to notice and what we do not — are how we render reality for ourselves, and thus have a direct bearing on what we feel is possible at any given time. These aspects, taken together, suggest to me the revolutionary potential of taking back our attention.

The impact is particularly noticeable among Generation Z and millennials, the first generations to come of age with the possibility of knowing where their peers are at all times. It has changed how friends communicate with one another and blurred lines of privacy. Friends now, sometimes unwittingly yet obsessively, check one another’s locations and bypass whole conversations — about where somebody is, what they are doing or how their days are going — when socializing. All of that information can be gleaned from Find My.

Although Find My is not marketed as a social experience, sharing locations has become a test of sorts, much like being included on a close friends list on Instagram or on a private story on Snapchat can signal closer friendships.

With Find My, “you aren’t actively choosing to do something as you reach a certain location because you’re constantly sharing your location,” said Michael Saker, a senior lecturer in digital sociology at City, University of London. As a result, “there’s an intimacy that’s intertwined with that act,” he added. “There’s a verification of being friends.”

In other words, when Kylie Jenner posts a petition demanding that Meta “Make Instagram Instagram again”, the honest answer is that changing Instagram is the most Instagram-like behavior possible.

The first trend is the shift towards ever more immersive mediums. Facebook, for example, started with text but exploded with the addition of photos. Instagram started with photos and expanded into video. Gaming was the first to make this progression, and is well into the 3D era. The next step is full immersion — virtual reality — and while the format has yet to penetrate the mainstream this progression in mediums is perhaps the most obvious reason to be bullish about the possibility.

The second trend is the increase in artificial intelligence. I’m using the term colloquially to refer to the overall trend of computers getting smarter and more useful, even if those smarts are a function of simple algorithms, machine learning, or, perhaps someday, something approaching general intelligence.

The third trend is the change in interaction models from user-directed to computer-controlled. The first version of Facebook relied on users clicking on links to visit different profiles; the News Feed changed the interaction model to scrolling. Stories reduced that to tapping, and Reels/TikTok is about swiping. YouTube has gone further than anyone here: Autoplay simply plays the next video without any interaction required at all.

“I’ve been on the internet for the last 10 years and I don’t know if I like what I like or what an algorithm wants me to like,” Peter wrote. She’d come to see social networks’ algorithmic recommendations as a kind of psychic intrusion, surreptitiously reshaping what she’s shown online and, thus, her understanding of her own inclinations and tastes.

Besieged by automated recommendations, we are left to guess exactly how they are influencing us, feeling in some moments misperceived or misled and in other moments clocked with eerie precision.

our truly quirky dimensions are never really grasped by these recommendation algorithms. They have all the dullness of a Demographics 101 curriculum; they sketch our personalities with the crudity of crime-scene chalk-outlines. They’re not wrong about us; but they’re woefully incomplete.

The metaphor suggests precisely what to do: If you want to have wilder, curiouser thoughts, you have to avoid the industrial monocropping of big-tech feeds. You want an intellectual forest, overgrown with mushrooms and towering weeds and a massive dead log where a family of raccoons has taken up residence.

For me, it’s meant slowly — over the last few years — building up a big, rangy collection of RSS feeds, that let me check up on hundreds of electic blogs and publications and people. (I use Feedly.) I’ve also started using Fraidycat, a niftily quixotic feed-reader that lets you sort sources into buckets by “how often should I check this source”, which is a cool heuristic; some people/sites you want to check every day, and others, twice a year.

Other times I spend an hour or two simply prospecting — I pick a subject almost at random, then check to see if there’s a hobbyist or interest-group discussion-board devoted to it. (There usually is, running on free warez like phpBB). Then I’ll just trawl through the forum, to find out what does this community care about?

Every platform has its royalty. On Instagram it's influencers, foodies, and photographers. Twitter belongs to the founders, journalists, celebrities, and comedians. On LinkedIn, it’s hiring managers, recruiters, and business owners who hold power on the platform and have the ear of the people.

On a job site, they’re the provisioners of positions and never miss the chance to regale their audience with their professional deeds: hiring a teenager with no experience, giving a stressed single mother a chance to provide for her family, or seeing past a candidate’s imperfections to give them a once-in-a-lifetime opportunity. These stories are relayed dramatically in what’s now recognizable as LinkedIn-style storytelling, one spaced sentence at a time, told by job-givers with a savior complex.